819 results about "Data optimization" patented technology

A data optimization engine disposed inline with a first communication channel and a second communication channel. The data optimization engine comprises a transmit interface circuit configured to receive a first data stream from the first communication channel and to obtain a first data file from the first data stream. The data optimization engine further includes an optimization processor coupled to the transmit interface circuit for receiving a second data file from the transmit interface circuit. The second data file represents the first data file after the first data file has been processed by the transmit interface circuit into a format suitable for optimization by the optimization processor. The optimization processor performs one of a compression and an encryption on the second data file, thereby obtaining all optimized data file. In one embodiment, the first data file is a Fiber Channel data frame. In another embodiment, the first data file is encoded using 10-bit encoding, the format suitable for optimization by the optimization processor is an 8-bit encoding protocol.

A system optimizes two or more stream processing programs based upon the data exchanged between the stream processing programs. The system alternately processes each stream processing program to identify and remove dead program code, thereby improving execution performance. Dead program code is identified by propagating constants received as inputs from other stream processing programs and by analyzing a first stream processing program and determining the outputs of a second stream processing program that are unused by the first stream processing program. The system may perform multiple iterations of this optimization is previous iterations introduce additional constants used as inputs to a stream processing program. Following optimization of the stream processing programs, the optimized stream processing programs are compiled to a format adapted to be executed by a stream processing system.

The present invention is a method, apparatus and program storage device for providing data path optimization for redundant data paths. The present invention provides data path optimization that increases the data access throughput and availability to a device by using multiple paths when a modification event occurs.

Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data may also be used for optimizing the signal of interest.

The invention discloses a various-information coupling emotion recognition method for the human-computer interaction. The method is characterized by including the steps of 1, acquiring the video and audio data of facial expression; 2, extracting features of text content, and acquiring the text information features; 3, extracting and coupling the prosodic features and overall audio features of the audio data; 4, coupling the text information features, audio information features and expression information features, and acquiring the comprehensive information features; 5, performing data optimization on the comprehensive information features by the deep learning method, utilizing a classifier to train the optimized comprehensive information features, and acquiring an emotion recognition model for various information coupling emotion recognition. According to the method, data information of text, audio and video can be combined completely, and the accuracy of emotion state judgment in human-computer interaction can be improved accordingly.

A data optimization engine for deoptimizing selected frames of a first stream of data, comprising a receive interface circuit coupled to an optimization processor. The receive interface circuit is configured for receiving the first stream of data. The receive interface circuit includes a traffic controller circuit for separating frames in the first stream of data into a first deoptimizable frame and a first non-deoptimizable frame, and a deoptimization front-end circuit coupled to the traffic controller circuit to receive at least a first portion of the first deoptimizable frame. The deoptimization front-end circuit includes a protocol conversion circuit configured to convert data in the first portion of the first deoptimizable frame from a first protocol to a second protocol suitable for processing by the optimization processor, the first protocol specifies a first word length, the second protocol specifies a second word length different from the first word length, wherein the optimization processor is configured to deoptimize the first portion of the first deoptimizable frame by performing at least one of decompression and decryption on the first portion of the first deoptimizable frame.

Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.

The invention discloses a data transmission method, device and system. The method comprises that an identifier and the priority of a target process are obtained; a data packet which is transmitted in the target process is obtained; the DSCP value of an IP header structure in the data packet is obtained and adjusted according to the priority of the target process; and the adjusted data packet is sent to a router so that the router optimizes the data packet according to the processing priority of the received data packet. According to the method, the processing priority of the data packet is adjusted by modifying the DSCP value of the IP header structure of the data packet, the router implements optimization according to the adjusted processing priority of the data packet, network data is optimized, packet loss processing is not needed in data packet upload and download in unit time, the data packets are prevented from loss, the present network stability and broadband utilization rate are improved, and the data optimization effect is improved.

The invention relates to the technical field of data processing, in particular to a large-data storage and optimization method facing to sea-cloud coordination. The method comprises the following steps of data preprocessing, calculation optimization and mass data optimization, wherein the step of data preprocessing comprises data collection, multi-source data organization and gathering, data redundant processing and data compression storage; the calculation optimization comprises HDFS (hadoop distributed file system) file transmission and optimization and Map / Reduce parallel calculation and optimization; and the step of mass data optimization comprises data backup for disaster recovery, data encryption, CC index and CCT backup. The large-data storage and optimization method disclosed by the invention can be applied to large-data storage of a cloud platform.

An events analysis method comprises: optimizing respective to a set of training data a set of branching transition likelihood parameters associating parent events of type k with child events of type k′ in branching processes; inferring a most probable branching process for a set of input data comprising events based on the optimized set of branching transition likelihood parameters; and identifying rare or unusual events of the set of input data based on the inferred most probable branching process. An events analysis apparatus includes a probabilistic branching process learning engine configured to optimize the set of branching transition likelihood parameters, and a probabilistic branching process inference engine configured to infer the most probable branching process.

Provided is a method for automatic caching construction of massive timing sequence remote-sensing images in a cloud environment. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment comprises the steps of carrying out data optimization partition on sub-scene data which are received newly in a fixed time interval aiming at imaging caching construction characteristics in the Hadoop cloud environment, carrying out single-scene or multi-scene data caching calculation, wherein a scene is of a data-block particle size, influencing task scheduling of caching slices through optimizing placement of data blocks in the cloud environment, and thus achieving an automatic caching construction process through a plurality of continuous small-batch MapReduce tasks in time in a condition that time sequence images continuously reach. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment exerts the characteristic of data localization calculation of MapReduce as far as possible through a plurality of optimizing strategies, can carry out rapid construction and update of various caching services of time sequence reaching remote-sensing data in a short cycle by using scalable cloud computing capacity provided by Hadoop, is applicable to remote-sensing images with different space temporal resolutions and different data sources, and has good universality.

The invention relates to the field of three-dimensional geographic information systems, in particular to a method for rapidly displaying and browsing massive models of a three-dimensional geographic information system in a three-dimensional scene at high efficiency by utilizing SkylineTerraSuite series software which is mainly applied in more than 75,000 three-dimensional models in Shanghai. In the method, a browser / server B / S system architecture consists of at least three servers and a three-dimensional scene browsing client, and massive three-dimensional models are rapidly displayed and browsed in the three-dimensional scene by using technologies in three-dimensional data optimization, model management, model data network transmission and the like. By the method, related technical problems of model format optimization methods, massive model management methods, three-dimensional model network transmission methods and the like are mainly solved. The invention has the advantages that: the scene display speed is increased, the efficiency of model release, loading, query, addition, modification and the like is improved, the displaying and browsing speed of the models is increased, and the reading speed of data and the displaying speed of the models are increased.

The invention relates to an indoor localization method based on clustering algorithm analytical data optimization, which is used for carrying out accurate localization on an unknown node in a complex index environment. The indoor localization method comprises the steps of: executing an RSSI (Received Signal Strength Indicator) signal processing optimization strategy, i.e., optimizing an RSSI value by using a clustering analysis Gaussian hybrid filtering model so as to eliminate the problems of dispersed intersection and serious jitter of the RSSI value, which exist due to factors of a multipath effect, a barrier and the like, and obtain one more reliable and reasonable RSSI value; adopting a fitting RSSI distance measurement model, i.e., according to an RSSI-distance conversion curve, carrying out fitting of the curve by adopting a least square method so as to obtain a logarithm path loss model suitable for a current environment; and then estimating out position information of the unknown node by using a weighted centroid localization algorithm. According to the indoor localization method disclosed by the invention, by an optimal RSSI distance measurement algorithm, accuracy of localization and distance measurement is improved, so that adaptability and localization accuracy of the localization algorithm are improved; and the indoor localization method is suitable to apply and popularize in the complex indoor environment.

A four color liquid crystal display (LCD) including red, green, blue, and white pixels is provided. The LCD also includes a plurality of gate lines for transmitting gate signals to the pixels and a plurality of data lines for transmitting data signals to the pixels. The LCD further includes a gate driver supplying the gate signals to the gate lines, a data driver supplying the data voltages to the data lines, and an image signal modifier. The image signal modifier includes a data converter converting three-color image signals into four-color image signals, a data optimizer optimizing the four-color image signals from the data converter, a data output unit supplying the optimized image signals to the data driver in synchronization with a clock, and a clock generator generating the clock. The data driver operates in synchronization with the clock.

The invention provides a quick topographic map making method based on database driving. Topographic maps of corresponding plotting scales are quickly made by a built topographic database, and a map making database and the topographic database are subjected to integrated storage, integrated management and synchronous updating. The quick topographic map making method based on database driving comprises the following steps of: (1) preprocessing map making data at a management end, namely building the topographic database, expanding the map making function of the topographic database, deriving map making data, generating framing map making sub databases, and establishing framing map making engineering; (2) generating the map making data at a production end, namely optimizing and adjusting the map making data, editing map making, trimming the contour of a map, edging the data and outputting the map; and (3) putting the topographic map making data into the database at the management end, namely concentratively performing uniform data storage processing on the topographic map making data subjected to the map making production steps such as map making editing, inspection and accepting, and forming the final topography and map-making integrated database.

Methods are disclosed for modeling changes in capacity and the state of charge vs. open circuit voltage (SOC-OCV) curve for a battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. In one method, using multiple data points taken during the plug-in charge event, data optimization is used to determine values for two parameters which define a scaling and a shifting of the SOC-OCV curve from its original shape at the cell's beginning of life to its shape in the cell's current condition. In a second method, only initial and final voltages and current throughput data are needed to determine the values of the two parameters. With the scaling and shifting parameters calculated, the cell's updated capacity and updated SOC-OCV curve can be determined. The methods can also be applied to data taken during a discharge event.

The invention relates to an image three-dimensional matching method and a device thereof. The invention is characterized in that the invention comprises the following steps: a graphic identifier is adopted to extract feature points of a detection image one and a candidate matching image two; a multi-dimensional vector identifier makes a multi-parameter description to the feature points of the feature list to acquire the multi-dimensional vectors described by the parameters of the feature points; a data optimizer reduces the multi-dimensional vector described by the parameters of each feature point of the remarkable feature point list of the image one, calculates the similarity of each feature point of the feature point list of the reduced image one and the feature point of the feature point list of the image two to acquire the candidate matching point set of the image one; a classifier is used to classify the comparison result to judge the matching result of the image one and the image two. The invention has higher matching accuracy and efficiency to the three-dimensional image matching.

A method for producing a key (50), wherein a data set (40) of a key is obtained by recording the surface of the key (10) and subsequently performing a data optimization (55), or from data of a data collection (46), in order to produce the key (50) from a semi-finished product clamped in a machine by a computer-controlled production method (9), wherein at least two different locking features are introduced into the semi-finished product.

A data optimization engine for optimizing selected frames of a first stream of data. The data optimization engine includes a transmit interface circuit coupled to an optimization processor, the transmit interface circuit being configured for receiving the first stream of data. The transmit interface circuit includes a traffic controller circuit for separating frames in the first stream of data into a first optimizable frame and a first non-optimizable frame, and an optimization front-end circuit coupled to the traffic controller circuit to receive at least a first portion of the first optimizable frame. The optimization front-end circuit includes a protocol conversion circuit configured to convert data in the first portion of the first optimizable frame from a first protocol to a second protocol suitable for processing by the optimization processor, the first protocol specifies a first word length, the second protocol specifies a second word length different from the first word length. The optimization front-end circuit further includes an end-of-optimization-file processing circuit, the end-of-optimization-file processing circuit flagging an end of the first portion of the first optimizable frame to the optimization processor, wherein the optimization processor is configured to optimize the first portion of the first optimizable frame by performing at least one of compression and encryption on the first portion of the first optimizable frame.

The invention provides an unmanned plane based geological disaster data collection processing method and device. High-precision image distortion correction is carried out on remote sensing image data collected by an unmanned plane, and optimizing pre-processing is carried out on the remote sensing image data; control points that satisfy the precision requirement are used to carry out aerial triangulation encryption on the remote sensing image data, exterior orientation elements of each remote sensing image data are obtained, and orthoimage data and DEM data are further obtained, and a geological disaster control service model is established. Image data of the unmanned plane and DEM data are collected automatically in processes, the technical difficulty in processing the image data of the unmanned plane and the DEM data is overcome, a standard data drafting flow is formed, the effectiveness is improved, and the method and device are convenient to popularize and apply; data information obtained by the method and device meets the demand of a geological disaster control service application system, the data input flow in geological disaster investigation and emergency process is thus simplified, and the method and device are timely and efficient.

A method and system for optimizing data includes determining whether the data is comprised of initializing zeroes, generating an empty block-when it is determined that the data is comprised of initializing zeroes, restoring the data comprised of initializing zeroes from the generated empty block, and loading the restored data comprised of initializing zeroes to memory. The method and system are used in DSP firmware.

The invention belongs to the technical field of edge cloud computing systems, and discloses a distributed edge cloud system architecture. The architecture comprises an edge node, an edge computing intelligent brain platform layer and an edge security boundary layer, wherein the edge node communicates with the edge computing intelligent brain platform layer through an edge private network; an intelligent brain platform of the edge computing intelligent brain platform layer is in butt joint with a plurality of different edge nodes to realize distributed deployment; data are acquired through external terminal equipment accessed by the edge node and uploading the data to the edge node for processing; the edge computing intelligent brain platform layer communicates with the center cloud or theindustry cloud through the edge security boundary layer; the edge security boundary layer serves as an interface for communication between the edge cloud system and the center cloud or the industry cloud and is used for guaranteeing the communication security between the edge cloud and the center cloud or the industry cloud; the system architecture has the characteristics of low time delay and high security, and meets the requirements of agile connection, real-time service, data optimization, intelligent application, security and privacy protection.

One embodiment of the present invention provides a system for privacy-preserving sharing of data for secure collaboration. During operation, the system obtains a first set of data describing network events associated with one or more network addresses. Next, the system negotiates with a potential partner to determine a metric for deciding whether to share data. The potential partner is associated with a second set of data describing network events. The system then computes a value for the metric in a privacy-preserving way, based on the first set of data and the second set of data. Subsequently, the system determines whether the metric value exceeds a predetermined threshold, and, responsive to determining that the metric value exceeds the predetermined threshold, the system shares the first set of data with the potential partner, while controlling how the data should be shared to optimize benefits and risks of collaboration.

The invention relates to a multiple input and multiple output (MIMO) system, in particular to a MIMO system baseband processing system and a device and a method of a transmitter baseband processing. Therein, the transmitter baseband processing device comprises a self-adaptive space time block coder. The invention is characterized in that the self-adaptive space time block coder is a structure, which is formed by a combined design of a linear space time block code (STBC) and a pre-code. The invention also comprises an off-line look-up table, which is generated according to a combined design standard. The combined design standard is an upper limit sum of pairwise error probability (PEP) between a sending codeword and other codeword in a constellation set, which represents information delay and quantization error in a feedback channel state. The invention is provided with an off-line pre-code and linear STBC combined design coding design process and an effective realization of a transmission scheme through using the look-up table. Furthermore, the invention can adopt a gradient searching art, which uses a global data optimization algorithm SGA to substitute a local optimization algorithm. The invention can also avoid the redundant and repeated searches with different initialization.

Optimizing ingestion of security structured data into a graph database for security analytics is provided. A plurality of streams of information is received from a plurality of security information sources. Respective subsets of information are ingested from each of the plurality of security information sources to generate small subgraphs of security information. Each of the small subgraphs comply to a schema used by a master knowledge graph. A batch process is performed to ingest a plurality of small subgraphs into the master knowledge graph.

Techniques and mechanisms provide a storage optimization manager. Data may be optimized and maintained on various nodes in a cluster. Particular nodes may be overburdened while other nodes remain relatively unused. Techniques are provided to efficiently optimize data onto nodes to enhance operational efficiency. Data access requests for optimized data are monitored and managed to allow for intelligent maintenance of optimized data.